Summary
Radovan Kavicky is an applied AI and data science leader with 12+ years of consulting and teaching experience, currently serving as Principal Data Scientist, President of GapData Institute, and AI Lecturer focused on GenAI/LLM and Explainable AI. Trained as a macroeconomist (MSc, unfinished PhD research in xAI) he blends rigorous econometrics and Bayesian statistics with hands-on ML/DL and engineering (R, Python, Julia, TensorFlow, Stan, Docker) to deliver policy-grade analyses and production-ready models. He founded several local tech communities (PyData Bratislava, R<-Slovakia, SK/CZ Tableau TUG), is an active international speaker and instructor (DataCamp, BaseCamp.ai), and advises public and private sector clients on responsible, transparent AI. Fluent in English and German and rooted in Central Europe, he combines academic curiosity with pragmatic tooling—his workstation-grade hardware and deep visualization skills enable large-model experimentation and reproducible, explainable outcomes.
11 years of coding experience
16 years of employment as a software developer
Graduation Accounting and Finance, Graduation Accounting and Finance at Business Academy Dudova
Master's degree Finance, General, Master's degree Finance, General at Faculty of National Economy, University of Economics in Bratislava, Slovakia
Unfinished Doctor of Philosophy - PhD. Explainable AI (xAI), Neural Networks, Machine Learning, LLM, Deep Learning, Generative AI, Unfinished Doctor of Philosophy - PhD. Explainable AI (xAI), Neural Networks, Machine Learning, LLM, Deep Learning, Generative AI at Technical University of Košice
English, Slovak, German, Russian, Czech, r, python, sql, julia